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Autori principali: Okajima, Hiroshi, Fujimoto, Yusuke, Oku, Hiroshi, Kondo, Haruto
Natura: Preprint
Pubblicazione: 2024
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Accesso online:https://arxiv.org/abs/2411.00318
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author Okajima, Hiroshi
Fujimoto, Yusuke
Oku, Hiroshi
Kondo, Haruto
author_facet Okajima, Hiroshi
Fujimoto, Yusuke
Oku, Hiroshi
Kondo, Haruto
contents This paper addresses a system identification for linear periodically time-varying plants in the discrete-time setting. A system identification algorithm for linear, periodically time-varying plants is introduced based on a cyclic reformulation and a state coordinate transformation of the cycled system. By using our system identification algorithm, the high-accuracy model of the periodically time-varying plant can be obtained without using specific periodic input signals. The effectiveness of the proposed algorithm is demonstrated with numerical examples.
format Preprint
id arxiv_https___arxiv_org_abs_2411_00318
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Cyclic Reformulation Based System Identification for Periodically Time-varying Systems
Okajima, Hiroshi
Fujimoto, Yusuke
Oku, Hiroshi
Kondo, Haruto
Systems and Control
This paper addresses a system identification for linear periodically time-varying plants in the discrete-time setting. A system identification algorithm for linear, periodically time-varying plants is introduced based on a cyclic reformulation and a state coordinate transformation of the cycled system. By using our system identification algorithm, the high-accuracy model of the periodically time-varying plant can be obtained without using specific periodic input signals. The effectiveness of the proposed algorithm is demonstrated with numerical examples.
title Cyclic Reformulation Based System Identification for Periodically Time-varying Systems
topic Systems and Control
url https://arxiv.org/abs/2411.00318